Demographics details for Mount pleasant, SC vs Vernon, IN
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Vernon, IN.
| Data | Mount pleasant | Vernon |
|---|---|---|
| Population | 94,545 | 233 |
| Median Age | 42.4 years | 45.3 years |
| Median Income | $115,167 | $53,750 |
| Married Families | 47.0% | 45.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Mount pleasant vs Vernon
- In Mount pleasant, the population is higher at 94,545, compared to 233 in Vernon.
- The median age in Vernon is higher at 45.3 years, compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167 compared to $53,750 in Vernon.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 45.0% in Vernon.
- The poverty level is higher in Vernon at 10%, compared to 5% in Mount pleasant.
- Vernon has a higher unemployment rate at 3.5% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Vernon provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Vernon |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 5 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Vernon
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 0% in Vernon.
- The percentage of White residents is higher in Vernon at 95% compared to 90% in Mount pleasant.
- The Asian population is larger in Mount pleasant at 2% compared to 0% in Vernon.
- Vernon has a higher percentage of Hispanic residents at 5%, compared to 2% in Mount pleasant.
- More residents identify as two or more races in Mount pleasant at 2% compared to 0% in Vernon.
- The percentage of American Indian residents is the same in both Mount pleasant and Vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Vernon |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.6% |
| Physical Health Not Good | 7.6% | 12.5% |
| Depression | 19.5% | 28.5% |
| Smoking | 9.8% | 21.9% |
| Binge Drinking | 25.5% | 17.5% |
| Obesity | 26.9% | 37.9% |
| Disability Percentage | 6.0% | 26.0% |
Health Statistics Comparison: Mount pleasant vs Vernon
- In Vernon, a higher percentage report poor mental health at 18.6% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Vernon at 28.5% versus 19.5% in Mount pleasant.
- Vernon has a higher smoking rate at 21.9% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 17.5% in Vernon.
- Vernon has higher obesity rates at 37.9% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Vernon at 26.0% compared to 6.0% in Mount pleasant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pleasant | Vernon |
|---|---|---|
| No Schooling | 0.3% (259) | 2.6% (6) |
| High School Diploma | 5.8% (5,499) | 28.8% (67) |
| Less than High School | 2.7% (2,577) | 12.0% (28) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 12.9% (30) |
Education Levels Comparison: Mount pleasant vs Vernon
- In Vernon, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Mount pleasant.
- In Vernon, the rate of residents with high school diplomas is higher at 28.8% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Vernon at 12.0%, compared to 2.7% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 12.9% in Vernon.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.